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Bandwidth selection for kernel density estimators of 2-d level sets and highest density regions. It applies a plug-in strategy to estimate the asymptotic risk function and minimize to get the optimal bandwidth matrix. See Doss and Weng (2018) <doi:10.48550/arXiv.1806.00731> for more detail.
| Version: | 0.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | ks, numDeriv, Matrix |
| Published: | 2018-10-26 |
| Author: | Guangwei Weng [aut, cre] |
| Maintainer: | Guangwei Weng <wengx076 at umn.edu> |
| License: | GPL-3 |
| URL: | http://arxiv.org/abs/1806.00731 |
| NeedsCompilation: | no |
| CRAN checks: | lsbs results |
| Reference manual: | lsbs.pdf |
| Package source: | lsbs_0.1.tar.gz |
| Windows binaries: | r-devel: lsbs_0.1.zip, r-release: lsbs_0.1.zip, r-oldrel: lsbs_0.1.zip |
| macOS binaries: | r-release (arm64): lsbs_0.1.tgz, r-oldrel (arm64): lsbs_0.1.tgz, r-release (x86_64): lsbs_0.1.tgz, r-oldrel (x86_64): lsbs_0.1.tgz |
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